This paper aims at analyzing sustainable practices that can be implemented within supply chains, linking them to Sustainable Development Goals (SDGs) in order to show the performance achieved by SDG-oriented supply chains. Sustainable practices were collected from the repository “Business Process Framework for Sustainability” owned by the Department of Industrial Engineering of the University of Salerno (Italy). By using literature research and descriptive statistics, there emerges a positive relationship between sustainable development and SC performance enhancement. From the study of the practices that can be implemented for cooperation activities with upstream and downstream supply chain partners, it emerges that companies have many opportunities of both supporting the 2030 Agenda and enhancing their market and organizational performance. The research demonstrates that both procurement and distribution processes could be reengineered by implementing sustainable approaches considering all three dimensions of sustainability. Differences emerge in terms of number of opportunities, depending on motivations for implementing them, industry and supply chain processes, performance achieved, and SDGs pursued.
PurposeThe paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.Design/methodology/approachA systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.FindingsA unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.Originality/valueThe research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.
The current food system is directly associated with food insecurity, malnutrition, food waste, and environmental impacts. The international community has been working on sustainability, and the enhancement of sustainable food consumption is a fundamental step for identifying possible strategies to limit the negative consequences derived from the health emergency of the COVID-19 pandemic. This work aims to understand the food consumption patterns of the Sapienza University community. The methodology adopted for the research activity has been developed while taking into account the theoretical reflections and the tested methodologies acquired in relation to the subject matter. The survey was based on the acquisition of primary data obtained through the development and distribution of a questionnaire to a specific sample, the results of which have been translated into value terms in the form of indicators. The survey conducted had the purpose of carrying out a first evaluation able to provide some basic indications regarding the awareness within Sapienza of the relationship between sustainability and food. Based on the indications obtained at this stage, it is expected to give rise to additional and in-depth investigations aimed at providing a model of sustainable food consumption that can be replicated on a large scale.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.